Works matching IS 11804009 AND DT 2023 AND VI 34 AND IP 2
Results: 14
The role of data science in environmental digital twins: In praise of the arrows.
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- Environmetrics, 2023, v. 34, n. 2, p. 1, doi. 10.1002/env.2789
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Environmental data science: Part 2.
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- Environmetrics, 2023, v. 34, n. 2, p. 1, doi. 10.1002/env.2788
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Estimating functional single index models with compact support.
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- Environmetrics, 2023, v. 34, n. 2, p. 1, doi. 10.1002/env.2784
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A Bayesian framework for studying climate anomalies and social conflicts.
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- Environmetrics, 2023, v. 34, n. 2, p. 1, doi. 10.1002/env.2778
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Flood hazard model calibration using multiresolution model output.
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- Environmetrics, 2023, v. 34, n. 2, p. 1, doi. 10.1002/env.2769
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Shooting for abundance: Comparing integrated multi‐sampling models for camera trap and hair trap data.
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- Environmetrics, 2023, v. 34, n. 2, p. 1, doi. 10.1002/env.2761
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Spatiotemporal modeling of mature‐at‐length data using a sliding window approach.
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- Environmetrics, 2023, v. 34, n. 2, p. 1, doi. 10.1002/env.2759
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On the selection of an interpolation method with an application to the Fire Weather Index in Ontario, Canada.
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- Environmetrics, 2023, v. 34, n. 2, p. 1, doi. 10.1002/env.2758
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Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data.
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- Environmetrics, 2023, v. 34, n. 2, p. 1, doi. 10.1002/env.2756
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Emulation of greenhouse‐gas sensitivities using variational autoencoders.
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- Environmetrics, 2023, v. 34, n. 2, p. 1, doi. 10.1002/env.2754
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Data science and climate risk analytics.
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- Environmetrics, 2023, v. 34, n. 2, p. 1, doi. 10.1002/env.2749
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Issue Information.
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- Environmetrics, 2023, v. 34, n. 2, p. 1, doi. 10.1002/env.2735
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Framing data science, analytics and statistics around the digital earth concept.
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- Environmetrics, 2023, v. 34, n. 2, p. 1, doi. 10.1002/env.2732
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Intersection between environmental data science and the R community in Latin America.
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- Environmetrics, 2023, v. 34, n. 2, p. 1, doi. 10.1002/env.2731
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- Article